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DDailoqa

AI /ML Engineer

Dailoqa

Noida
Full-Time

Description

About the Role

We are looking for Women AI Engineers who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to

  • Work directly with our founding team and be a core member.

  • Apply the latest AI techniques to solve real problems faced by Financial Services clients.

  • Design, build, and refine datasets to evaluate and continuously improve our solutions.

  • Participate in strategy and product ideation sessions, influencing our product and solution roadmap.

Key Responsibilities

  • Agentic AI Development: Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai.

  • AI Research and Innovation: Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as Retrieval-Augmented Generation (RAG), semantic such as 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Eligibility Criteria

  • Bachelor's degree in computer science, Software Engineering, or a related field
  • 2–4 years of experience in MLOps, DevOps, or related roles
  • Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
  • Have strong familiarity and knowledge of machine learning concepts
  • Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform

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